Mary Ann Waldron

623 total citations
11 papers, 417 citations indexed

About

Mary Ann Waldron is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mary Ann Waldron has authored 11 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 4 papers in Epidemiology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mary Ann Waldron's work include Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Pneumonia and Respiratory Infections (3 papers) and Tuberculosis Research and Epidemiology (2 papers). Mary Ann Waldron is often cited by papers focused on Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Pneumonia and Respiratory Infections (3 papers) and Tuberculosis Research and Epidemiology (2 papers). Mary Ann Waldron collaborates with scholars based in United States. Mary Ann Waldron's co-authors include J S Wolfson, James M. Richter, David J. Weber, Cyrus C. Hopkins, Daniel J. MacGowan, Stephen N. Scelsa, Anthony R. Mattia, Ajit J. Alles, Morton N. Swartz and George W. Evans and has published in prestigious journals such as New England Journal of Medicine, Neurology and Journal of Clinical Microbiology.

In The Last Decade

Mary Ann Waldron

11 papers receiving 387 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mary Ann Waldron United States 8 238 220 80 61 39 11 417
Woo Hyun Chang South Korea 7 242 1.0× 154 0.7× 84 1.1× 21 0.3× 5 0.1× 13 389
Ozan Yaman Türkiye 8 212 0.9× 72 0.3× 115 1.4× 9 0.1× 3 0.1× 38 317
L. P. Jones United States 11 55 0.2× 89 0.4× 49 0.6× 10 0.2× 4 0.1× 19 381
Jinelle A Webb Canada 11 61 0.3× 50 0.2× 41 0.5× 4 0.1× 18 0.5× 18 349
Shirin Sayyahfar Iran 10 72 0.3× 189 0.9× 96 1.2× 7 0.1× 4 0.1× 62 381
Petithory Jc France 11 132 0.6× 44 0.2× 65 0.8× 5 0.1× 8 0.2× 52 284
M Rommel Germany 11 274 1.2× 18 0.1× 84 1.1× 5 0.1× 23 0.6× 31 407
Nanna Skaarup Andersen Denmark 12 258 1.1× 264 1.2× 54 0.7× 37 0.6× 4 0.1× 38 425
Phyllis C. Shoemaker United States 6 188 0.8× 196 0.9× 43 0.5× 8 0.1× 2 0.1× 6 301
Avril M. Monahan Ireland 8 430 1.8× 224 1.0× 17 0.2× 25 0.4× 9 586

Countries citing papers authored by Mary Ann Waldron

Since Specialization
Citations

This map shows the geographic impact of Mary Ann Waldron's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mary Ann Waldron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Ann Waldron more than expected).

Fields of papers citing papers by Mary Ann Waldron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Ann Waldron. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mary Ann Waldron. The network helps show where Mary Ann Waldron may publish in the future.

Co-authorship network of co-authors of Mary Ann Waldron

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Ann Waldron. A scholar is included among the top collaborators of Mary Ann Waldron based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mary Ann Waldron. Mary Ann Waldron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Waldron, Mary Ann, et al.. (2013). Improved scheduling operations in diagnostic imaging.. PubMed. 35(1). 30–5; quiz 36. 1 indexed citations
2.
Daily, Johanna P. & Mary Ann Waldron. (2003). Case 22-2003. New England Journal of Medicine. 349(3). 287–295. 4 indexed citations
3.
Moore, Anne, Edward T. Ryan, & Mary Ann Waldron. (2002). Case 20-2002. New England Journal of Medicine. 346(26). 2069–2076. 16 indexed citations
4.
MacGowan, Daniel J., Stephen N. Scelsa, & Mary Ann Waldron. (2001). An ALS-like syndrome with new HIV infection and complete response to antiretroviral therapy. Neurology. 57(6). 1094–1097. 81 indexed citations
5.
Alles, Ajit J., et al.. (1995). Prospective comparison of direct immunofluorescence and conventional staining methods for detection of Giardia and Cryptosporidium spp. in human fecal specimens. Journal of Clinical Microbiology. 33(6). 1632–1634. 66 indexed citations
6.
Waldron, Mary Ann, et al.. (1993). Use of the Quantitative Buffy Coat system for detection of parasitemia in patients with babesiosis. Journal of Clinical Microbiology. 31(10). 2816–2818. 13 indexed citations
8.
Waldron, Mary Ann & Jay A. Fishman. (1992). Pneumocystis carinii: Advances in diagnosis. Clinical Microbiology Newsletter. 14(21). 161–166. 9 indexed citations
10.
Beaver, Paul C., J S Wolfson, Mary Ann Waldron, et al.. (1987). Dirofilaria Ursi-Like Parasites Acquired by Humans in the Northern United States and Canada: Report of Two Cases and Brief Review. American Journal of Tropical Medicine and Hygiene. 37(2). 357–362. 30 indexed citations
11.
Wolfson, J S, et al.. (1985). Cryptosporidiosis in Immunocompetent Patients. New England Journal of Medicine. 312(20). 1278–1282. 170 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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